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Wilkinson AF, Barra MJ, Novak EN, Bond M, Richards-Kortum R. Point-of-care isothermal nucleic acid amplification tests: progress and bottlenecks for extraction-free sample collection and preparation. Expert Rev Mol Diagn 2024:1-16. [PMID: 38973430 DOI: 10.1080/14737159.2024.2375233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 06/28/2024] [Indexed: 07/09/2024]
Abstract
INTRODUCTION Suitable sample collection and preparation methods are essential to enable nucleic acid amplification testing at the point of care (POC). Strategies that allow direct isothermal nucleic acid amplification testing (iNAAT) of crude sample lysate without the need for nucleic acid extraction minimize time to result as well as the need for operator expertise and costly infrastructure. AREAS COVERED The authors review research to understand how sample matrix and preparation affect the design and performance of POC iNAATs. They focus on approaches where samples are directly combined with liquid reagents for preparation and amplification via iNAAT strategies. They review factors related to the type and method of sample collection, storage buffers, and lysis strategies. Finally, they discuss RNA targets and relevant regulatory considerations. EXPERT OPINION Limitations in sample preparation methods are a significant technical barrier preventing implementation of nucleic acid testing at the POC. The authors propose a framework for co-designing sample preparation and amplification steps for optimal performance with an extraction-free paradigm by considering a sample matrix and lytic strategy prior to an amplification assay and readout. In the next 5 years, the authors anticipate increasing priority on the co-design of sample preparation and iNAATs.
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Affiliation(s)
| | - Maria J Barra
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Emilie N Novak
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Meaghan Bond
- Rice360 Institute for Global Health Technologies, Rice University, Houston, TX, USA
| | - Rebecca Richards-Kortum
- Department of Bioengineering, Rice University, Houston, TX, USA
- Rice360 Institute for Global Health Technologies, Rice University, Houston, TX, USA
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2
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Sen S, Bhowmik P, Tiwari S, Peleg Y, Bandyopadhyay B. Versatility of reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) from diagnosis of early pathological infection to mutation detection in organisms. Mol Biol Rep 2024; 51:211. [PMID: 38270670 DOI: 10.1007/s11033-023-09110-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 12/05/2023] [Indexed: 01/26/2024]
Abstract
Loop-mediated isothermal amplification (LAMP) is a rapid, state-of-the-art DNA amplification technology, used primarily for the quick diagnosis and early identification of microbial infection, caused by pathogens such as virus, bacteria and malaria. A target DNA can be amplified within 30 min using the LAMP reaction, taking place at a steady temperature. The LAMP method uses four or six primers to bind eight regions of a target DNA and has a very high specificity. The devices used for conducting LAMP are usually simple since the LAMP method is an isothermal process. When LAMP is coupled with Reverse Transcription (RT), it allows direct detection of RNA in a sample. This greatly enhances the efficiency of diagnosis of RNA viruses in a sample. Recently, the rampant spread of COVID-19 demanded such a rapid, simple, and cost-effective Point of Care Test (PoCT) for the accurate diagnosis of this pandemic. Loop-mediated isothermal amplification (LAMP) assays are not only used for the detection of microbial pathogens, but there are various other applications such as detection of genetic mutations in food and various organisms. In this review, various implementations of RT-LAMP techniques would be discussed.
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Affiliation(s)
- Srishti Sen
- School of Bioscience, Engineering and Technology, VIT Bhopal University, Bhopal, Madhya Pradesh, India
| | - Priyanka Bhowmik
- Department of Biological Sciences, School of Life Science and Biotechnology, Adamas University, Kolkata, India
| | - Shubhangi Tiwari
- School of Bioscience, Engineering and Technology, VIT Bhopal University, Bhopal, Madhya Pradesh, India
| | - Yoav Peleg
- Structural Proteomics Unit (SPU), Life Sciences Core Facilities (LSCF), Weizmann Institute of Science, Rehovot, Israel
| | - Boudhayan Bandyopadhyay
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, India.
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3
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Dong T, Wang M, Liu J, Ma P, Pang S, Liu W, Liu A. Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives. Chem Sci 2023; 14:6149-6206. [PMID: 37325147 PMCID: PMC10266450 DOI: 10.1039/d2sc06665c] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/03/2023] [Indexed: 06/17/2023] Open
Abstract
The disastrous spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has induced severe public healthcare issues and weakened the global economy significantly. Although SARS-CoV-2 infection is not as fatal as the initial outbreak, many infected victims suffer from long COVID. Therefore, rapid and large-scale testing is critical in managing patients and alleviating its transmission. Herein, we review the recent advances in techniques to detect SARS-CoV-2. The sensing principles are detailed together with their application domains and analytical performances. In addition, the advantages and limits of each method are discussed and analyzed. Besides molecular diagnostics and antigen and antibody tests, we also review neutralizing antibodies and emerging SARS-CoV-2 variants. Further, the characteristics of the mutational locations in the different variants with epidemiological features are summarized. Finally, the challenges and possible strategies are prospected to develop new assays to meet different diagnostic needs. Thus, this comprehensive and systematic review of SARS-CoV-2 detection technologies may provide insightful guidance and direction for developing tools for the diagnosis and analysis of SARS-CoV-2 to support public healthcare and effective long-term pandemic management and control.
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Affiliation(s)
- Tao Dong
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
- School of Pharmacy, Medical College, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Mingyang Wang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Junchong Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Pengxin Ma
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Shuang Pang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Wanjian Liu
- Qingdao Hightop Biotech Co., Ltd 369 Hedong Road, Hi-tech Industrial Development Zone Qingdao 266112 China
| | - Aihua Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
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Yang Y, Li H, Jones L, Murray J, Haverstick J, Naikare HK, Mosley YYC, Tripp RA, Ai B, Zhao Y. Rapid Detection of SARS-CoV-2 RNA in Human Nasopharyngeal Specimens Using Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms. ACS Sens 2023; 8:297-307. [PMID: 36563081 PMCID: PMC9797020 DOI: 10.1021/acssensors.2c02194] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
A rapid and cost-effective method to detect the infection of SARS-CoV-2 is fundamental to mitigating the current COVID-19 pandemic. Herein, a surface-enhanced Raman spectroscopy (SERS) sensor with a deep learning algorithm has been developed for the rapid detection of SARS-CoV-2 RNA in human nasopharyngeal swab (HNS) specimens. The SERS sensor was prepared using a silver nanorod array (AgNR) substrate by assembling DNA probes to capture SARS-CoV-2 RNA. The SERS spectra of HNS specimens were collected after RNA hybridization, and the corresponding SERS peaks were identified. The RNA detection range was determined to be 103-109 copies/mL in saline sodium citrate buffer. A recurrent neural network (RNN)-based deep learning model was developed to classify 40 positive and 120 negative specimens with an overall accuracy of 98.9%. For the blind test of 72 specimens, the RNN model gave a 97.2% accuracy prediction for positive specimens and a 100% accuracy for negative specimens. All the detections were performed in 25 min. These results suggest that the DNA-functionalized AgNR array SERS sensor combined with a deep learning algorithm could serve as a potential rapid point-of-care COVID-19 diagnostic platform.
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Affiliation(s)
- Yanjun Yang
- School of Electrical and Computer Engineering, College
of Engineering, The University of Georgia, Athens,
Georgia30602, United States
| | - Hao Li
- School of Microelectronics and Communication
Engineering, Chongqing Key Laboratory of Bio-perception & Intelligent Information
Processing, Chongqing University, Chongqing400044, P.
R. China
| | - Les Jones
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
| | - Jackelyn Murray
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
| | - James Haverstick
- Department of Physics and Astronomy, The
University of Georgia, Athens, Georgia30602, United
States
| | - Hemant K. Naikare
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
- Tifton Veterinary Diagnostic and Investigational
Laboratory, The University of Georgia, Athens, Georgia30602,
United States
| | - Yung-Yi C. Mosley
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
- Tifton Veterinary Diagnostic and Investigational
Laboratory, The University of Georgia, Athens, Georgia30602,
United States
| | - Ralph A. Tripp
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
| | - Bin Ai
- School of Microelectronics and Communication
Engineering, Chongqing Key Laboratory of Bio-perception & Intelligent Information
Processing, Chongqing University, Chongqing400044, P.
R. China
| | - Yiping Zhao
- Department of Physics and Astronomy, The
University of Georgia, Athens, Georgia30602, United
States
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Abstract
INTRODUCTION The SARS-CoV-2 pandemic, and the subsequent limitations on standard diagnostics, has vastly expanded the user base of Reverse Transcription Loop-mediated isothermal Amplification (RT-LAMP) in fundamental research and development. RT-LAMP has also penetrated commercial markets, with emergency use authorizations for clinical diagnosis. AREAS COVERED This review discusses the role of RT-LAMP within the context of other technologies like RT-qPCR and rapid antigen tests, progress in sample preparation strategies to enable simplified workflow for RT-LAMP directly from clinical specimens, new challenges with primer and assay design for the evolving pandemic, prominent detection modalities including colorimetric and CRISPR-mediated methods, and translational research and commercial development of RT-LAMP for clinical applications. EXPERT OPINION RT-LAMP occupies a middle ground between RT-qPCR and rapid antigen tests. The simplicity approaches that of rapid antigen tests, making it suitable for point-of-care use, but the sensitivity nears that of RT-qPCR. RT-LAMP still lags RT-qPCR in fundamental understanding of the mechanism, and the interplay between sample preparation and assay performance. Industry is now beginning to address issues around scalability and usability, which could finally enable LAMP and RT-LAMP to find future widespread application as a diagnostic for other conditions, including other pathogens with pandemic potential.
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Affiliation(s)
- Gihoon Choi
- Biotechnology & Bioengineering Department, Sandia National Laboratories, Livermore, CA, USA
| | - Taylor J Moehling
- Biotechnology & Bioengineering Department, Sandia National Laboratories, Livermore, CA, USA
| | - Robert J Meagher
- Biotechnology & Bioengineering Department, Sandia National Laboratories, Livermore, CA, USA
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Yang Y, Xu B, Murray J, Haverstick J, Chen X, Tripp RA, Zhao Y. Rapid and quantitative detection of respiratory viruses using surface-enhanced Raman spectroscopy and machine learning. Biosens Bioelectron 2022; 217:114721. [PMID: 36152394 DOI: 10.1016/j.bios.2022.114721] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/29/2022] [Accepted: 09/11/2022] [Indexed: 12/23/2022]
Abstract
Rapid and sensitive pathogen detection is important for prevention and control of disease. Here, we report a label-free diagnostic platform that combines surface-enhanced Raman scattering (SERS) and machine learning for the rapid and accurate detection of thirteen respiratory virus species including SARS-CoV-2, common human coronaviruses, influenza viruses, and others. Virus detection and measurement have been performed using highly sensitive SiO2 coated silver nanorod array substrates, allowing for detection and identification of their characteristic SERS peaks. Using appropriate spectral processing procedures and machine learning algorithms (MLAs) including support vector machine (SVM), k-nearest neighbor, and random forest, the virus species as well as strains and variants have been differentiated and classified and a differentiation accuracy of >99% has been obtained. Utilizing SVM-based regression, quantitative calibration curves have been constructed to accurately estimate the unknown virus concentrations in buffer and saliva. This study shows that using a combination of SERS, MLA, and regression, it is possible to classify and quantify the virus in saliva, which could aid medical diagnosis and therapeutic intervention.
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Affiliation(s)
- Yanjun Yang
- School of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, GA, 30602, USA.
| | - Beibei Xu
- Department of Statistics, The University of Georgia, Athens, GA, 30602, USA
| | - Jackelyn Murray
- Department of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, GA, 30602, USA
| | - James Haverstick
- Department of Physics and Astronomy, The University of Georgia, Athens, GA, 30602, USA
| | - Xianyan Chen
- Department of Statistics, The University of Georgia, Athens, GA, 30602, USA
| | - Ralph A Tripp
- Department of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, GA, 30602, USA
| | - Yiping Zhao
- Department of Physics and Astronomy, The University of Georgia, Athens, GA, 30602, USA.
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7
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Isothermal amplification using sequence-specific fluorescence detection of SARS coronavirus 2 and variants in nasal swabs. Biotechniques 2022; 72:263-272. [PMID: 35545967 PMCID: PMC9248022 DOI: 10.2144/btn-2022-0037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Coronavirus disease 2019 is a public health challenge requiring rapid testing for the detection of infections and transmission. Nucleic acid amplification tests targeting SARS coronavirus 2 (CoV2) are used to detect CoV2 in clinical samples. Real-time reverse transcription quantitative PCR is the standard nucleic acid amplification test for CoV2, although reverse transcription loop-mediated isothermal amplification is used in diagnostics. The authors demonstrate a sequence-specific reverse transcription loop-mediated isothermal amplification-based nucleic acid amplification assay that is finished within 30 min using minimally processed clinical nasal swab samples and describe a fluorescence-quenched reverse transcription loop-mediated isothermal amplification assay using labeled primers and a quencher oligonucleotide. This assay can achieve rapid (30 min) and sensitive (1000 plaque-forming units/ml) fluorescence detection of CoV2 (WA1/2020), B.1.1.7 (Alpha) and variants of concern Delta (B.1.617.2) and Omicron (B.1.1.529) in nasal samples. The authors describe a sequence-specific nucleic acid amplification assay (fluorescence-quenched reverse transcription loop-mediated isothermal amplification) based on a modified reverse transcription loop-mediated isothermal amplification assay that utilizes a fluorescence-labeled reporter primer and a short complementary oligonucleotide quencher to detect SARS coronavirus 2 in minimally processed clinical nasal swab samples. The fluorescence-quenched reverse transcription loop-mediated isothermal amplification assay is completed in 30 min without purifying RNA and achieves reproducible, sensitive and specific (1000 plaque-forming units/ml) detection of SARS coronavirus 2 WA1/2020 and three SARS coronavirus 2 variant viruses while not signaling on three closely related human coronaviruses or two other heterologous human respiratory viruses.
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8
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Dhar BC. Diagnostic assay and technology advancement for detecting SARS-CoV-2 infections causing the COVID-19 pandemic. Anal Bioanal Chem 2022; 414:2903-2934. [PMID: 35211785 PMCID: PMC8872642 DOI: 10.1007/s00216-022-03918-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/01/2022] [Accepted: 01/20/2022] [Indexed: 12/23/2022]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused COVID-19 pandemic has transmitted to humans in practically all parts of the world, producing socio-economic turmoil. There is an urgent need for precise, fast, and affordable diagnostic testing to be widely available for detecting SARS-CoV-2 and its mutations in various phases of the disease. Early diagnosis with great precision has been achieved using real-time polymerase chain reaction (RT-PCR) and similar other molecular methods, but theseapproaches are costly and involve rigorous processes that are not easily obtainable. Conversely, immunoassays that detect a small number of antibodies have been employed for quick, low-cost tests, but their efficiency in diagnosing infected people has been restricted. The use of biosensors in the detection of SARS-CoV-2 is vital for the COVID-19 pandemic’s control. This review gives an overview of COVID-19 diagnostic approaches that are currently being developed as well as nanomaterial-based biosensor technologies, to aid future technological advancement and innovation. These approaches can be integrated into point-of-care (POC) devices to quickly identify a large number of infected patients and asymptomatic carriers. The ongoing research endeavors and developments in complementary technologies will play a significant role in curbing the spread of the COVID-19 pandemic and fill the knowledge gaps in current diagnostic accuracy and capacity.
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Affiliation(s)
- Bidhan C Dhar
- Lineberger Comprehensive Cancer Center, University of North Carolina (UNC), 205 S Columbia St, Chapel Hill, NC, 27514, USA.
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da Silva Torres MK, Bichara CDA, de Almeida MDNDS, Vallinoto MC, Queiroz MAF, Vallinoto IMVC, dos Santos EJM, de Carvalho CAM, Vallinoto ACR. The Complexity of SARS-CoV-2 Infection and the COVID-19 Pandemic. Front Microbiol 2022; 13:789882. [PMID: 35222327 PMCID: PMC8870622 DOI: 10.3389/fmicb.2022.789882] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 01/04/2022] [Indexed: 12/12/2022] Open
Abstract
The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to the death of millions of people worldwide and thousands more infected individuals developed sequelae due to the disease of the new coronavirus of 2019 (COVID-19). The development of several studies has contributed to the knowledge about the evolution of SARS-CoV2 infection and the disease to more severe forms. Despite this information being debated in the scientific literature, many mechanisms still need to be better understood in order to control the spread of the virus and treat clinical cases of COVID-19. In this article, we carried out an extensive literature review in order to bring together, in a single article, the biological, social, genetic, diagnostic, therapeutic, immunization, and even socioeconomic aspects that impact the SAR-CoV-2 pandemic. This information gathered in this article will enable a broad and consistent reading of the main aspects related to the current pandemic.
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Affiliation(s)
- Maria Karoliny da Silva Torres
- Laboratory of Virology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
- Graduate Program in Biology of Infectious and Parasitic Agents, Federal University of Pará, Belém, Brazil
| | - Carlos David Araújo Bichara
- Laboratory of Virology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
- Graduate Program in Biology of Infectious and Parasitic Agents, Federal University of Pará, Belém, Brazil
| | - Maria de Nazaré do Socorro de Almeida
- Graduate Program in Biology of Infectious and Parasitic Agents, Federal University of Pará, Belém, Brazil
- Laboratory of Complex Diseases, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Mariana Cayres Vallinoto
- Laboratory of Virology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
- University Center of the State of Pará, Belém, Brazil
| | - Maria Alice Freitas Queiroz
- Laboratory of Virology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
- Graduate Program in Biology of Infectious and Parasitic Agents, Federal University of Pará, Belém, Brazil
| | | | - Eduardo José Melo dos Santos
- Graduate Program in Biology of Infectious and Parasitic Agents, Federal University of Pará, Belém, Brazil
- Laboratory of Complex Diseases, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | | | - Antonio Carlos R. Vallinoto
- Laboratory of Virology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
- Graduate Program in Biology of Infectious and Parasitic Agents, Federal University of Pará, Belém, Brazil
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